Many researchers have developed computer-aided screening systems to identify potential baggage threats [1]}, [2]}. While a majority of these frameworks are based on conventional machine learning [3]}, [4]}, [5]}, [6]}, the recent works also employ supervised [7]}, [8]}, [9]}, [10]}, and unsupervised [11]} deep learning, and these methods outperform conventional approaches both in terms of performance, and efficiency [12]}, [13]}, [14]}. In this section, we discuss some of the major baggage threat detection works. We refer the readers to [15]}, [16]} for an exhaustive survey.
